XU Ming-fei, LI Chang-ling, WANG Yuan-qing, ZHOU Wei. Multi-mode passenger flow sharing characteristics of highway-rail composite intercity corridor[J]. Journal of Traffic and Transportation Engineering, 2020, 20(5): 176-186. doi: 10.19818/j.cnki.1671-1637.2020.05.014
Citation: XU Ming-fei, LI Chang-ling, WANG Yuan-qing, ZHOU Wei. Multi-mode passenger flow sharing characteristics of highway-rail composite intercity corridor[J]. Journal of Traffic and Transportation Engineering, 2020, 20(5): 176-186. doi: 10.19818/j.cnki.1671-1637.2020.05.014

Multi-mode passenger flow sharing characteristics of highway-rail composite intercity corridor

doi: 10.19818/j.cnki.1671-1637.2020.05.014
Funds:

National Natural Science Foundation of China 51878062

National Natural Science Foundation of China 51908462

More Information
  • Four node cities, including Xianyang, Weinan, Huangling and Yan'an within 350 km from the central city of Xi'an in Shaanxi Province were selected. The passenger flow characteristic parameters such as travel volume, time inside the vehicle, ticket price or toll of high-speed railway, ordinary railway, long-distance bus and car on the highway were collected. Various methods of intercity passenger flow sharing analysis were summarized. A distance transfer curve model and multivariate Logit model were constructed and were calibrated by curve fitting, trial calculation and regression analysis. According to the model calibration results, the sensitivities of passenger flow sharing rate to distance, time and cost were analyzed, respectively. The sharing characteristics of regional intercity multi-mode passenger flow were obtained, and the relevant suggestions on the planning and management of intercity corridors were given. Analysis result indicates that the fitting results of sharing rate-distance transfer curves of three modes, including high-speed railway, ordinary railway and car on the highway, are ideal. The determination coefficients are all above 0.94. When MNL model takes 90-150 min out of the vehicle, the fitting effect is preferable and the determination coefficients are all above 0.79. The determination coefficients reach the peak values when the time value is 50-70 yuan·h-1. With the increase of intercity travel distance, the travelers choose to transfer from car on the highway to intercity railway travel. A high-speed railway has more advantage than an ordinary railway. The sharing rate of the car on the highway between Xi'an and Xianyang in a near distance is 96.91%. The sharing rate of the high-speed railway between Xi'an and Yan'an in a long distance is 53.66%, and that of the ordinary railway is 30.58%. Taking the outside time of 120 min as an example: the ranges of impedance coefficient of high-speed railway, ordinary railway, long-distance bus and car on the highway are 0.029-0.044, 0.034-0.042, 0.030-0.040 and 0.028-0.048, respectively, car and high-speed railway have a larger growth range, making both services more sensitive to travel costs. The impedance coefficients of the four modes are 0.038-0.042 under the condition that the time value is 60 yuan·h-1. There is no significant difference between the four services on the generalized time senisitivity of travel. It is suggested that more passenger flow sharing rules of inter city corridors in urban agglomerations should be explored. The details of an urban end of an inter city travel chain should be considered accurately to guide the macro planning and management of intercity corridors preferably.

     

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  • [1]
    PRIEMUS H, ZONNEVELD W. What are corridors and what are the issues?Introduction to special issue: the governance of corridors[J]. Journal of Transport Geography, 2003, 11(3): 167-177. doi: 10.1016/S0966-6923(03)00028-0
    [2]
    李德刚. 综合运输网中的通道分析与系统配置研究[D]. 成都: 西南交通大学, 2006.

    LI De-gang. Research on analysis and system configuration of corridor in comprehensive transportation network[D]. Chengdu: Southwest Jiaotong University, 2006. (in Chinese).
    [3]
    张迦南, 赵鹏. 综合运输通道规划方法研究[J]. 北京交通大学学报, 2010, 34(3): 142-147. doi: 10.3969/j.issn.1673-0291.2010.03.028

    ZHANG Jia-nan, ZHAO Peng. Review of comprehensive transportation corridors planning[J]. Journal of Beijing Jiaotong University, 2010, 34(3): 142-147. (in Chinese). doi: 10.3969/j.issn.1673-0291.2010.03.028
    [4]
    陈培健, 杨尚海. 区域公路网规划方法的研究[J]. 公路交通科技, 1995, 12(2): 43-48. https://www.cnki.com.cn/Article/CJFDTOTAL-GLJK502.007.htm

    CHEN Pei-jian, YANG Shang-hai. Research on planning methods of regional highway network[J]. Journal of Highway and Transportation Research and Development, 1995, 12(2): 43-48. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-GLJK502.007.htm
    [5]
    陈学武. 城市对外交通需求预测方法探讨[J]. 现代城市研究, 1994(4): 46-48. https://www.cnki.com.cn/Article/CJFDTOTAL-XDCS199404014.htm

    CHEN Xue-wu. Discussion on forecasting methods of urban external traffic demand[J]. Urban Research, 1994(4): 46-48. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-XDCS199404014.htm
    [6]
    MIYAOKA Y. Toll expressway management in Japan[C]//REAAA. 7th Conference of the Road Engineering Association of Asia and Australasia. Malaysia: REAAA, 1992: 267-275.
    [7]
    ROMÁN C, ESPINO R, MARTÍN J C. Analyzing competition between the high speed train and alternative modes: the case of the Madrid-Zaragoza-Barcelona corridor[J]. Journal of Choice Modelling, 2010, 3(1): 84-108. doi: 10.1016/S1755-5345(13)70030-7
    [8]
    WANG Yuan-qing, LI Lei, WANG Li, et al. Modeling traveler mode choice behavior of a new high-speed rail corridor in China[J]. Transportation Planning and Technology, 2014, 37(5): 466-483. doi: 10.1080/03081060.2014.912420
    [9]
    PAULSSEN M, TEMME D, VIJ A, et al. Values, attitudes and travel behavior: a hierarchical latent variable mixed logit model of travel mode choice[J]. Transportation, 2014, 41(4): 873-888. doi: 10.1007/s11116-013-9504-3
    [10]
    ADLER N, PELS E, NASH C. High-speed rail and air transport competition: game engineering as tool for cost-benefit analysis[J]. Transportation Research Part B: Methodological, 2010, 44 (7): 812-833. doi: 10.1016/j.trb.2010.01.001
    [11]
    叶玉玲, 韩明初, 陈俊晶. 基于出行链的城际旅客出行方式选择行为[J]. 同济大学学报(自然科学版), 2017, 46(9): 1234-1240. https://www.cnki.com.cn/Article/CJFDTOTAL-TJDZ201809011.htm

    YE Yu-ling, HAN Ming-chu, CHEN Jun-jing. Intercity passenger travel mode choice behavior based on trip chain[J]. Journal of Tongji University (Natural Science), 2017, 46(9): 1234-1240. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-TJDZ201809011.htm
    [12]
    MCVOY J, PRINCE A, FERREIRA L. Toll road modelling approaches for Queensland[J]. Road and Transport Research, 1995, 4(3): 102-113.
    [13]
    YAO E J, MORIKAWA T, KURAUCHI S, et al. A study on nested logit mode choice model for intercity high-speed rail system with combined RP/SP data[J]. Traffic and Transportation Studies, 2002, 1/2: 612-619.
    [14]
    JUNG S Y, YOO K E. Passenger airline choice behavior for domestic short-haul travel in south Korea[J]. Journal of Air Transport Management, 2014, 38: 43-47. doi: 10.1016/j.jairtraman.2013.12.017
    [15]
    牛学勤, 王炜, 殷志伟. 城市客运交通方式分担预测方法研究[J]. 公路交通科技, 2004, 21(3): 75-77. https://www.cnki.com.cn/Article/CJFDTOTAL-GLJK200403020.htm

    NIU Xue-qin, WANG Wei, YIN Zhi-wei. Research on method of urban passenger traffic mode split forecast[J]. Journal of Highway and Transportation Research and Development, 2004, 21(3): 75-77. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-GLJK200403020.htm
    [16]
    陆锡明, 董志国. 上海市主城区公共交通分担率与土地利用相关性[J]. 城市交通, 2014, 12(4): 1-2, 76.

    LU Xi-ming, DONG Zhi-guo. Relationship between transit travel mode share and land use in main urban area of Shanghai[J]. Urban Transport of China, 2014, 12(4): 1-2, 76. (in Chinese).
    [17]
    冯妍, 李得伟. 基于Logit模型的城际运输通道客运量分担率计算研究[J]. 铁道运输与经济, 2016, 38(4): 47-51. https://www.cnki.com.cn/Article/CJFDTOTAL-TDYS201604011.htm

    FENG Yan, LI De-wei. Research on passenger traffic volume sharing rate of inter-city transport corridor based on Logit model[J]. Railway Transport and Economy, 2016, 38(4): 47-51. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-TDYS201604011.htm
    [18]
    张戎, 吴晓磊. 长三角快速客运网城际公共交通分担率模型[J]. 同济大学学报(自然科学版), 2008, 36(9): 1210-1218, 1240. doi: 10.3321/j.issn:0253-374X.2008.09.012

    ZHANG Rong, WU Xiao-lei. Inter-urban public transport mode share under high-speed railways network in Yangtze River Delta[J]. Journal of Tongji University (Natural Science), 2008, 36(9): 1210-1218, 1240. (in Chinese). doi: 10.3321/j.issn:0253-374X.2008.09.012
    [19]
    彭辉, 续宗芳, 韩永启, 等. 城市群城际运输结构配置客流分担率模型[J]. 长安大学学报(自然科学版), 2012, 32(2): 91-95. doi: 10.3969/j.issn.1671-8879.2012.02.017

    PENG Hui, XU Zong-fang, HAN Yong-qi, et al. Sharing ratios model of passenger flows in intercity transportation structure configuration among urban agglomeration[J]. Journal of Chang'an University (Natural Science Edition), 2012, 32(2): 91-95. (in Chinese). doi: 10.3969/j.issn.1671-8879.2012.02.017
    [20]
    林小梅, 邵春福, 董春娇, 等. 节假日公路免费政策下城际交通行为特性[J]. 交通运输系统工程与信息, 2019, 19(2): 247-254.

    LIN Xiao-mei, SHAO Chun-fu, DONG Chun-jiao, et al. The behavior characteristics of inter-city travel under the implication of expressway toll-free policy during holiday[J]. Journal of Transportation Systems Engineering and Information Technology, 2019, 19(2): 247-254. (in Chinese).
    [21]
    ZENG Qing-cheng, LU Ting-yu, LIN Kun-chin, et al. The competitiveness of Arctic shipping over Suez Canal and China-Europe Railway[J]. Transport Policy, 2020, 86: 34-43. doi: 10.1016/j.tranpol.2019.11.005
    [22]
    WALLES V, STEENBERGHEN T. Space and time related determinants of public transport use in trip chains[J]. Transportation Research Part A: Policy and Practice, 2006, 40(2): 151-162. doi: 10.1016/j.tra.2005.05.001
    [23]
    侯云仙, 杨善奇. 交通方式选择与旅客时间价值研究——以北京—太原客运通道为例[J]. 北京交通大学学报(社会科学版), 2016, 15(2): 80-88. https://www.cnki.com.cn/Article/CJFDTOTAL-BFJD201602010.htm

    HOU Yun-xian, YANG Shan-qi. The value of travel time and transportation mode choice: a case study on Beijing-Taiyuan passenger transport[J]. Journal of Beijing Jiaotong University (Social Sciences Edition), 2016, 15(2): 80-88. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-BFJD201602010.htm
    [24]
    GI M, TH T. Investigating travel utility elements in association with travel time and mode choice: the case of Seoul, South Korea[J]. Transportation Planning and Technology, 2017, 40(6): 641-660. doi: 10.1080/03081060.2017.1325136
    [25]
    Transport Planning and Research Institute, Ministry of Transport, China. Expressway tolls and diversion study[R]. Beijing: Asian Development Bank, 2008.
    [26]
    豆甜甜, 孙全欣, 冯旭杰. 城市对外枢纽位置对长距离出行方式选择的影响[J]. 铁道运输与经济, 2013, 35(4): 64-68. https://www.cnki.com.cn/Article/CJFDTOTAL-TDYS201304017.htm

    DOU Tian-tian, SUN Quan-xin, FENG Xu-jie. Influence of city external hub location on selection of long-distance traveling modes[J]. Railway Transport and Economy, 2013, 35(4): 64-68. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-TDYS201304017.htm
    [27]
    PU Xu. Intercity multi-modal traffic assignment model and algorithm for urban agglomeration considering the whole travel process[C]//IOP. 2018 International Conference on Civil and Hydraulic Engineering. Manchester: IOP, 2018: 062016-1-9.
    [28]
    MAHMUDAH A M H, SARWONO D, PRAMESTY R I, et al. Value of travel time for public transport passenger in urban and intercity trip[J]. Applied Mechanics and Materials, 2016, 845: 408-415.
    [29]
    刘跃军, 顾涛, 周凌, 等. 基于居民出行时间价值的SP调查设计[J]. 城市交通, 2018, 16(2): 76-82. https://www.cnki.com.cn/Article/CJFDTOTAL-CSJT201802013.htm

    LIU Yue-jun, GU Tao, ZHOU Ling, et al. SP survey design based on travel time value of residents[J]. Urban Transport of China, 2018, 16(2): 76-82. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-CSJT201802013.htm
    [30]
    KATO T, UCHIDA K, LAM W H K, et al. Estimation of the value of travel time and of travel time reliability for heterogeneous drivers in a road network[J]. Transportation, 2020, DOI: 10.1007/s11116-020-10107-x.
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